Understanding The Workings Of Natural Language Processing Vs Natural Language Generation

Digital assistants, chatbots and other conversational interfaces have become the most widely-adopted technologies in the recent days. Their ability to carry human-like conversations in a seamless manner could be attributed to their tremendous popularity, which is in turn driven by two underlying technologies -- Natural Language Processing (NLP) and Natural Language Generation (NLG). These two branches of machine learning are enabling the conversion of human language to computer commands and vice versa. As these technologies are enabling humans to have a conversation with machines in an effective manner and augmenting human intelligence, we bring to you an article that discusses the differences between NLP and NLG, their working and some common use cases. The most popular definition of NLP describes it as a process which turns text into structured data when the computer reads the language. In short, NLP is computer's reading language.